The power of managed data, supercharged by AI, allows us to create value quickly by unlocking actionable insights to drive business value. Discover new revenue-driven processes, early red-flag signaling, process optimization, new customer segmentation discovery, and much more.
Predictive analytics' primary focus is to optimize processes and create business value.
Using predictive analytics, retailers can predict what individual customers will buy next, so manufacturers can avoid unexpected and costly machine breakdowns. Newspaper distributors can predict with accuracy the quantity of papers to deliver to individual retailers on any given day.
The process is normally underpinned by machine learning (ML), data science, and artificial intelligence (AI) capabilities. However, this approach on its own will struggle to resolve many of today's digital challenges. The LSI approach is focused on deriving value from a multi-pronged approach that fuses innovation, business value, and insights from AI and ML capabilities.
